code: def __init__(self, benchmark=False):
      # we can't expect inputs to be the same length, so disable benchmarking by default
      self._chosen_cudnn_benchmark = benchmark
      self._cudnn_benchmark = None
  
file_path: TTS/TTS/tts/layers/bark/load_model.py
imports: import contextlib
  import functools
  import hashlib
  import logging
  import os
  import requests
  import torch
  import tqdm
  from TTS.tts.layers.bark.model import GPT, GPTConfig
  from TTS.tts.layers.bark.model_fine import FineGPT, FineGPTConfig
label_desc: Use image node_id 1 to create a new InferenceContext object  with example: obj = InferenceContext(benchmark)